{"message": "Error in _realtime_reply_task\nTraceback (most recent call last):\n File \"/usr/local/lib/python3.12/site-packages/livekit/agents/utils/log.py\", line 16, in async_fn_logs\n return await fn(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/livekit/agents/voice/agent_activity.py\", line 1453, in _realtime_reply_task\n generation_ev = await self._rt_session.generate_reply(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nlivekit.agents.llm.realtime.RealtimeError: generate_reply timed out.", "level": "ERROR", "name": "livekit.agents", "pid": 109, "job_id": "AJ_5UHCpvxmMWZZ", "timestamp": "2025-06-27T092849.376345+00:00"}

Thanks for reaching out, Zhe. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

Can I set the timeout 5 seconds longer?

Hey there! I totally understand your concern about the

generate_reply

method timeout. Right now, it's set to 5 seconds by default, which might feel a bit tight depending on what you're working on. From what I can see, the LiveKit agents framework has some flexibility with timeouts, but the documentation isn't super clear about customizing the

generate_reply

timeout specifically. My suggestion? Take a peek at the method's implementation in your project. You might find a way to tweak that timeout to better suit your needs. Totally happy to help you dig into this if you want an extra set of eyes – just let me know, and we'll figure it out together! 😊 Sources: GitHub::livekit::agents | livekit-plugins/livekit-plugins-google/livekit/pl...

Or can I catch this error and request again? any method to do that?

Hey there! I totally understand how frustrating timeouts can be when you're working with AI frameworks. Good news - the LiveKit agents framework has some really smart built-in ways to handle those tricky moments. When a

generate_reply

timeout happens, the framework can automatically step in and try again. It'll keep track of retry attempts using a counter and even has a handy

_retry_generation()

method to help recover. Pretty cool, right? If you want to set something similar up in your own project, you can catch the

llm.RealtimeError

exception and create your own retry logic. It's like having a backup plan that keeps things running smoothly. Feeling a bit stuck or want to walk through the details? I'm totally here to help! Just let me know what questions you've got, and we'll figure this out together. 😊 Sources: GitHub::livekit::agents | livekit-plugins/livekit-plugins-google/livekit/pl...

yeah, can you tell me how to catch this llm.realtimerrror in the entrypoint?

Hey there! 👋 Dealing with errors in your LiveKit agents can be a bit tricky, but I've got a super helpful tip for you. When you want to catch the

llm.RealtimeError

in your entrypoint, a simple try-except block is your best friend. Check out this quick code snippet:

try:
    await self._rt_session.update_instructions(self._agent.instructions)
except llm.RealtimeError:
    logger.exception("Failed to update the instructions")

The cool thing is, this approach works for all sorts of operations – whether you're updating chat context, managing tools, or anything else. By using the logger's exception method, you'll get a clear record of what went wrong without disrupting your workflow. Need me to break this down further or help you implement it? I'm totally here for you! Just give me a shout. 😊 Sources: GitHub::livekit::agents | livekit-agents/livekit/agents/llm/__init__.py